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  • Staff System Integration, AI/Compute HW

    J&J Family of Companies (Santa Clara, CA)



    Apply Now

    At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

    Job Function:

    R&D Product Development

    Job Sub** **Function:

    R&D Software/Systems Engineering

    Job Category:

    Scientific/Technology

    All Job Posting Locations:

    Santa Clara, California, United States of America

    Job Description:

    Johnson & Johnson MedTech is currently recruiting for a Staff Engineer - System Integration, AI/Compute HW, located in Santa Clara, CA.

     

    At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.

     

    At Johnson & Johnson MedTech, we’re changing the trajectory of health for humanity, using robotics to enhance healthcare providers’ abilities and improve patients’ diagnoses, treatments, and recovery times. Johnson & Johnson Robotics was established in 2020 with the integration of Auris Health, Verb Surgical, C-SATS, and Ethicon. It comprises three key med-tech platforms: Flexible Robotics (MONARCH®), Surgical Robotics (OTTAVA™), and Digital Solutions. Join our collaborative, rapidly growing teams in the San Francisco Bay Area (Santa Clara), Cincinnati, and Seattle. You’ll collaborate on breakthrough medical technologies that unite multiple subject areas to build a connected digital ecosystem that advances medical professionals’ skills and improves patient outcomes.

    Core Job Responsibilities:

    + Technically lead integration in the areas of focus including GPU, visualization pipeline, and real time AI models

    + Drive decomposition of feature, requirement, and SW needs and evaluate computer HW design and capabilities to meet those needs

    + Own characterization and de-risking of the design from prototype to complete subsystem level. Analyze results and provide meaningful insights or conclusions to drive technical decisions

    + Identify, root cause, and resolve novel issues that arise by mentoring team members & collaborating with functional partners

    + Support innovation & development of test methods and fixtures for system/subsystem integration, test, and calibration

    + Provide technical mentorship to team members

    Qualifications:

    + BS in Computer, Electrical, or Systems Engineering or other applicable technical degree with 8+ years of related experience, OR MS with 5+ years, OR PhD with 3+ years is required

    + Ability to lead, mentor and delegate to other engineers and technicians is required

    + Proven experience in computer HW and SW development & integration required

    + Proven knowledge of operating systems, computer component selection, and computer architecture required

    + Experience with hardware specification and performance benchmarking required

    + Proven understanding of programming concepts and ability to modify existing code (C++, python, etc) required

    + Understanding of basic engineering fundamentals in multiple disciplines, with ability to quickly come up to speed in new technical areas required

    + Experience partitioning and decomposing sophisticated engineering problems into solvable problems required

    + Experience with GPU HW for real time AI models preferred

    + Understanding of ML/AI techniques is preferred

    + Ability to communicate concisely and persuasively about technical topics with other leaders to make key technical decisions preferred

    + Project management skills is preferred

     

    The anticipated base pay range for this position is 141,000 - 227,700 California Bay Area

     

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

     

    Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

     

    Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

    Required Skills:

    Preferred Skills:

    Coaching, Critical Thinking, Innovation, Model-Based Systems Engineering (MBSE), Organizing, Project Management, Report Writing, Requirements Analysis, Research and Development, Researching, SAP Product Lifecycle Management, Scripting Languages, Software Acquisitions, Software Development Management, Software Engineering Practices, Software Quality Assurance (SQA), Systems Development Lifecycle (SDLC), Technologically Savvy, Training People

    The anticipated base pay range for this position is :

    141,000 - 227,700

    Additional Description for Pay Transparency:

    he anticipated base pay range for this position is 141,000 - 227,700 California Bay Area

     


    Apply Now



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